Computer techniques of image enhancement and their application in visualization of anatomic structures during preliminary analysis of medical images

• Autorzy: Ogiela M.
• Języki publikacji: EN

Abstrakty

EN

The article presents the group of transformations which medical pictures can be subjected to, in the aim of enhancing of their contrast and better distinguishing and diagnosis of organs shown in this pictures. In this work, the analysis was based on images acquired by various techniques, such as roentgenography (RTG), magnetic resonance imaging (MRI), classic computer tomography (CT) and ultrasonography (USG). Contrast expansion in these images was performed using the histogram method of balancing of gray levels and the method based on the modification of tonal curve. Such transformations were necessary during preliminary processing of these images, especially to adjust their quality to next steps of the analysis in case of automatic medical diagnosis, and also to enable their visual evaluation by specialists and diagnostic interpretation of images of organs and their structural features. The studies show that the method based on the modification of tonal curve yields better results in case of images acquired by roentgenography and magnetic resonance imaging. On the other hand, histogram method is more suitable for contrast expansion in CT and USG images.

Słowa kluczowe

EN

image analysis; image processing; medical imaging; pattern recognition; X-ray images

PL

analiza obrazu; obrazowanie w medycynie; przetwarzanie obrazów; rozpoznawanie obrazów

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 1999
• Tom: Vol. 5, no 1
• Strony: 33--44
• Opis fizyczny: Bibliogr. 6 poz.,Rys., wykr.,

Twórcy

autor

Ogiela M.

• AGH Technical University, Institute of Automatics, 30 Mickiewicza St, PL-30-059 Cracow, Poland